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Diabetes Management Guidance by a Logical Unit Supported by Data-Mining in a Mobile Application

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  • First Online:
XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 76))

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Abstract

Diabetes type I is a chronic disease that requires strict supervision. MyDiabetes is a utility application for diabetic users. This application served as basis to develop a logical unit, composed of logical rules, translated from medical protocols and guidelines, to advise the user. The data in the application is a source of knowledge about the user’s health state and diabetes intrinsic characteristics. An existing concern is the weak user adherence and consequential data absence. The implemented solutions were gamification and an interface rework. As later confirmed through a survey, users feel captivated by appealing interfaces, achievements and medals. In a near future, we will resume our work with the S. João’s hospital, with a new trial and volunteers. User testing will be used to validate the gamification techniques.

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Notes

  1. 1.

    From American Diabetes Association.

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Author information

Authors and Affiliations

  1. Instituto de Telecomunicações, Lisbon, Portugal

    Diogo Machado & Pedro Brandão

  2. INESC-TEC, Porto, Portugal

    Vítor Santos Costa

  3. CINTESIS, Porto, Portugal

    Inês Dutra

  4. Faculdade de Ciências da Universidade do Porto, Porto, Portugal

    Diogo Machado, Vítor Santos Costa, Inês Dutra & Pedro Brandão

Authors
  1. Diogo Machado
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  2. Vítor Santos Costa
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  3. Inês Dutra
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  4. Pedro Brandão
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Corresponding author

Correspondence to Diogo Machado .

Editor information

Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Jorge Henriques

  2. Universidade do Minho, Braga, Portugal

    Nuno Neves

  3. University of Coimbra, Coimbra, Portugal

    Paulo de Carvalho

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Machado, D., Costa, V.S., Dutra, I., Brandão, P. (2020). Diabetes Management Guidance by a Logical Unit Supported by Data-Mining in a Mobile Application. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_169

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  • DOI: https://doi.org/10.1007/978-3-030-31635-8_169

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31634-1

  • Online ISBN: 978-3-030-31635-8

  • eBook Packages: EngineeringEngineering (R0)

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